Results 241 to 250 of about 115,291 (290)

Siderite Concretions in Svalbard Lake Sediments Capture 7,000 Years of Extreme Arctic Cold Season Climate Change

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract The Arctic warms faster than anywhere else on Earth, and paleoclimate data are key to placing this amplified response in a long‐term context. But most past temperature proxies record growing season conditions, when their biological signal carriers are produced.
Willem G. M. van der Bilt, Barnabás Csiszár, Marie Bulínová, Leif‐Erik R. Pedersen, Alexandra Rouillard, Ingunn H. Thorseth, Torgeir O. Røthe, Mateusz C. Strzelecki, Anders Schomacker   +8 more
wiley   +1 more source

Multi-source data fusion-based knowledge transfer for unmanned aerial vehicle flight data anomaly detection and recovery. [PDF]

Sci Rep
Yang L, Li S, Yu L, Zhu C, Wang C.
europepmc   +1 more source

Tent-PSO-Based Unmanned Aerial Vehicle Path Planning for Cooperative Relay Networks in Dynamic User Environments. [PDF]

Sensors (Basel)
Liu S, Zhou W, Qin M, Peng X.
europepmc   +1 more source

Unmanned aerial vehicle based multi-person detection via deep neural network models. [PDF]

Front Neurorobot
Alshehri M, Zahoor L, AlQahtani Y, Alshahrani A, AlHammadi DA, Jalal A, Liu H.   +6 more
europepmc   +1 more source

The spatiotemporal evolution of flight-coupled wind field for a four-rotor plant protection unmanned aerial vehicle. [PDF]

PLoS One
Yang F, Li Z, Zhang G, Zhou H.
europepmc   +1 more source

A Review of Unmanned Aerial Vehicle Based Antenna and Propagation Measurements. [PDF]

Sensors (Basel)
Kandregula VR, Zaharis ZD, Ahmed QZ, Khan FA, Loh TH, Schreiber J, Serres AJR, Lazaridis PI.   +7 more
europepmc   +1 more source

Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking. [PDF]

Vis Comput Ind Biomed Art
Dabbabi K, Delleji T.
europepmc   +1 more source

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Obstacle Avoidance for Unmanned Aerial Vehicles

Journal of Intelligent & Robotic Systems, 2011
This work is framed within the PITVANT project and aims to contribute to the development of obstacle avoidance techniques for unmanned aerial vehicles (UAVs). The paper describes the design, implementation and experimental evaluation of a potential field obstacle avoidance algorithm based on the fluid mechanics panel methods. Obstacles and the UAV goal
Gonçalo Charters Santos Cruz, Pedro Miguel Martins Encarnação   +1 more
openaire   +2 more sources

Unmanned Aerial Vehicles

2021
Last January, the General Secretariat of the Council of the European Union produced an estimate that, by the year 2035, the drones' sector will create up to 100,000 new jobs and, in addition, will have an economic impact of more than ten billion euros per year. This chapter takes its cue precisely from the central importance of unmanned aerial vehicles,
openaire   +2 more sources

Unmanned Aerial Vehicles

2020
Unmanned aerial vehicles, otherwise known as drones, are unmanned aircraft that uses radio control equipment and an independent program control device. This includes unmanned helicopters, fixed-wing aircraft, multi-rotor aircraft, unmanned airships, and parawings.
openaire   +2 more sources